Production Optimization Engineer II

Expand Energy•Oklahoma City, OK

About The Position

The Production Optimization Engineer is responsible for advancing production optimization initiatives through the Remote Operations Center (ROC). This role serves as the primary liaison between production operations, production engineering, and Digital Advancement teams to identify opportunities, prioritize initiatives, and drive adoption of technology-enabled solutions that improve production performance and operational efficiency. Working closely with field teams, the Production Optimization Engineer will help expand the capabilities and adoption of Leucipa, advance edge computing initiatives, automate production workflows and reporting, and support the deployment of emerging AI-enabled solutions. The successful candidate combines strong production engineering expertise with a passion for leveraging technology to improve business outcomes.

Requirements

Bachelor’s degree - from accredited university - Engineering from an ABET Engineering Accreditation Commission (EAC) program, OR Professional Engineer (PE) license, OR Master’s degree - from accredited university - Master’s of Engineering degree from a program in which the correlating Bachelor’s degree is accredited by the ABET EAC
2 years related work experience in production engineering, operations engineering, or production operations
Strong understanding of unconventional oil and gas production systems and optimization practices
Demonstrated ability to identify, prioritize, and execute production improvement opportunities
Strong communication, collaboration, and stakeholder management skills
Self-starter with the ability to lead initiatives across functional boundaries

Nice To Haves

Experience with production surveillance, optimization, or analytics platforms
Familiarity with Expand’s Leucipa platform
Experience working with SCADA, operational technology, or automation systems
Exposure to reporting, dashboarding, and workflow automation tools
Interest in AI, machine learning, and digital transformation initiatives

Responsibilities

Identify and champion initiatives that improve production performance, reduce downtime, and increase efficiency across production operations
Partner with production operations and production engineering teams to identify challenges and develop technology-enabled solutions
Evaluate and prioritize opportunities based on business value, production impact, and implementation feasibility
Track initiative performance and communicate results to stakeholders
Support the continued evolution of the ROC's capabilities and effectiveness
Identify opportunities to improve ROC workflows, decision-making processes, and day-to-day efficiency
Reduce manual effort through automation and streamlined processes
Serve as a key advocate for digital adoption within production operations
Lead efforts to expand the value, utilization, and adoption of Leucipa across the organization
Gather business requirements and translate production needs into enhancement opportunities
Partner with Digital Advancement, production operations, and production engineering teams to develop and deploy new capabilities
Support user training, change management, feedback collection, and continuous improvement activities
Support the development and deployment of edge computing solutions that improve real-time production awareness and response
Identify opportunities to leverage edge-based alarming, event detection, and automation capabilities to optimize production operations
Partner with production operations, SCADA, and Digital Advancement teams to deploy and scale solutions that drive measurable business value
Identify recurring production reporting processes suitable for automation
Partner with technical resources to develop dashboards, reports, and automated workflows
Improve data accessibility and reduce reliance on manual reporting processes
Drive consistency and efficiency in production reporting across the organization
Develop proficiency in AI, machine learning, and advanced analytics practices relevant to production operations
Support deployment and adoption of AI-enabled tools that improve production effectiveness and decision-making
Act as the business-facing product owner for assigned ROC and production optimization initiatives
Coordinate with broader Digital Advancement teams on initiative prioritization, resource planning, and delivery schedules
Facilitate collaboration among production operations, production engineering, Data Science, SCADA, and software development teams
Ensure initiatives remain aligned with business priorities and strategic objectives